Lazy Evaluation

Lazy Evaluation is a computational strategy within functional programming that defers the evaluation of an expression until its value is explicitly required, distinguishing it from eager evaluation by minimizing unnecessary computations through on-demand, memoized execution.

259

Publications

13.2K

Citations

485

Authors

208

Institutions

Publications per year

2017–2026

29

Variants

Call-by-need

Authors

485

  1. SP
    Simon Peyton Jones

    Microsoft Research (United Kingdom), United Kingdom

    7 publications · 342 citations

    7

    h-index

  2. GV
    Germán Vidal

    Universitat Politècnica de València, Spain

    5 publications · 197 citations

    5

    h-index

  3. SS
    Siddhartha S Srinivasa

    Carnegie Mellon University, United States

    5 publications · 136 citations

    5

    h-index

  4. SM
    Simon Marlow

    Microsoft Research (United Kingdom), United Kingdom

    5 publications · 185 citations

    5

    h-index

  5. PW
    Philip Wadler

    University of Edinburgh, United Kingdom

    5 publications · 565 citations

    5

    h-index

1–5 of 485

Venues

  1. Journal of Functional Programming

    14 publications · 844 citations

    14

    h-index

  2. ACM SIGPLAN Notices

    7 publications · 206 citations

    7

    h-index

  3. Electronic Notes in Theoretical Computer Science

    ENTCS · 7 publications · 205 citations

    7

    h-index

  4. 5

    h-index

  5. arXiv (Cornell University)

    Repository · 5 publications · 344 citations

    5

    h-index

1–5